HERMES
Safetensors
English
modernbert
llm-routing
model-chooser
intelligent-orchestration
fine-tuned
cma-es
federated-learning
cost-optimization
open-source
production-ai
model-dispatch
prompt-routing
multi-model
ensemble-decision
human-readable-decisions
federated-llm
evolution-strategy
ai-infrastructure
llm-inference
prompt-classification
model-selection
intelligent-dispatch
cost-effective-llm
production-routing
free-llm-api
openrouter
transformer-based
classifier
v1.3.0
fugusashi
eulogik
self-hosted
on-device
cpu-inference
low-latency
22ms-inference
3-model-classes
gpt-oss
lfm
149m-params
cross-entropy-training
cosine-scheduler
differential-privacy
federated-averaging
multi-agent
task-orchestration
grpo-reinforcement-learning
human-in-the-loop
explainable-ai
xai
interpretable-ai
natural-language-explanation
confidence-scoring
fallback-strategy
ensemble-ai
mlops
ai-orchestration
llmops
prompt-engineering
token-efficiency
aiops
llm-observability
model-governance
open-ai-compatibility
chat-completion-api
openai-compatible
v1-chat-completions
streaming
function-calling
agentic-ai
rag-routing
enterprise-llm
startup-llm
healthcare-llm
code-assistant
creative-writing-ai
math-reasoning
factual-qna
llm-gateway
smart-proxy
model-proxy
ai-gateway
inference-optimization
gpu-saving
cost-saving
latency-optimization
real-time-inference
edge-ai
on-device-inference
embedded-llm
edge-deployment
mobile-friendly
cpu-only
no-gpu-needed
Instructions to use eulogik/fugusashi-v1.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- HERMES
How to use eulogik/fugusashi-v1.3 with HERMES:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ModernBertForSequenceClassification" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 50281, | |
| "classifier_activation": "gelu", | |
| "classifier_bias": false, | |
| "classifier_dropout": 0.0, | |
| "classifier_pooling": "mean", | |
| "cls_token_id": 50281, | |
| "decoder_bias": true, | |
| "deterministic_flash_attn": false, | |
| "dtype": "float32", | |
| "embedding_dropout": 0.0, | |
| "eos_token_id": 50282, | |
| "global_attn_every_n_layers": 3, | |
| "global_rope_theta": 160000.0, | |
| "gradient_checkpointing": false, | |
| "hidden_activation": "gelu", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2" | |
| }, | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1152, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1, | |
| "LABEL_2": 2 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "local_attention": 128, | |
| "local_rope_theta": 10000.0, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.0, | |
| "model_type": "modernbert", | |
| "norm_bias": false, | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 22, | |
| "pad_token_id": 50283, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "repad_logits_with_grad": false, | |
| "sep_token_id": 50282, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "transformers_version": "4.57.6", | |
| "vocab_size": 50368 | |
| } | |